Evaluation of the Effect of Camera Viewing Angles on the Quality of Human Pose Estimation in River Surfing
Zöllner M, Krause M, Groth C, Kniesburges S, Döllinger M (2026)
Publication Type: Conference contribution
Publication year: 2026
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 16292 LNCS
Pages Range: 450-458
Conference Proceedings Title: Lecture Notes in Computer Science
Event location: Enschede
ISBN: 9783032133113
DOI: 10.1007/978-3-032-13312-0_31
Abstract
Capturing human poses with monocular RGB cameras seems like an uncomplicated compared to extensive motion capturing systems or calibrated multi camera setups. In our application scenario we are capturing the biomechanics of surfers on standing waves in rivers with GoPro cameras. Thereby we identified detection quality issues of the joints on the backside of the surfers’ bodies in certain situations. In this paper we are evaluating different camera positions and angles with regard to the recognition quality of these critical body parts. We are describing the application scenario and the resulting requirements for human pose estimation and hardware setup. Our evaluation results are identifying patterns of quality issues depending on surfers’ stance, skills and motions on the one hand and camera positions and angles on the other hand. We are concluding our paper with further approaches to improve detection quality.
Authors with CRIS profile
Stefan Kniesburges
Lehrstuhl für Hals-Nasen-Ohrenheilkunde
Michael Döllinger
Professur für Computational Medicine
Involved external institutions
Germany (DE)How to cite
APA:
Zöllner, M., Krause, M., Groth, C., Kniesburges, S., & Döllinger, M. (2026). Evaluation of the Effect of Camera Viewing Angles on the Quality of Human Pose Estimation in River Surfing. In Özlem Durmaz Incel, Jingwen Qin, Gerald Bieber, Arjan Kuijper (Eds.), Lecture Notes in Computer Science (pp. 450-458). Enschede, NL: Springer Science and Business Media Deutschland GmbH.
MLA:
Zöllner, Michael, et al. "Evaluation of the Effect of Camera Viewing Angles on the Quality of Human Pose Estimation in River Surfing." Proceedings of the 10th International Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, iWOAR 2025, Enschede Ed. Özlem Durmaz Incel, Jingwen Qin, Gerald Bieber, Arjan Kuijper, Springer Science and Business Media Deutschland GmbH, 2026. 450-458.
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